Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Most programs are repetitive, meaning that some parts of a program are executed more than once. As a result, a number of phases can be extracted in which each phase exhibits simila...
Frederik Vandeputte, Lieven Eeckhout, Koen De Boss...
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Detecting and predicting a program’s execution phases are crucial to dynamic optimizations and dynamically adaptable systems. This paper shows that a phase can be associated with...
Jinpyo Kim, Sreekumar V. Kodakara, Wei-Chung Hsu, ...
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...